{ "_id": "6a215ce5cd65a98ecbd2f3fe", "Package": "matrixdist", "Type": "Package", "Title": "Statistics for Matrix Distributions", "Version": "1.1.9", "Date": "2023-08-01", "Authors@R": "c(person(\"Martin\", \"Bladt\", email = \"martinbladt@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Jorge\", \"Yslas\", email = \"jorge.yslas1@gmail.com\",\nrole = \"aut\"),\nperson(\"Alaric\", \"Müller\", email = \"muelleralaric@gmail.com\",\nrole = \"ctb\")\n)", "Maintainer": "Martin Bladt ", "Author": "Martin Bladt [aut, cre], Jorge Yslas [aut], Alaric Müller [ctb]", "URL": "https://github.com/martinbladt/matrixdist_1.0", "BugReports": "https://github.com/martinbladt/matrixdist_1.0/issues", "Description": "Tools for phase-type distributions including the following\nvariants: continuous, discrete, multivariate, in-homogeneous,\nright-censored, and regression. Methods for functional\nevaluation, simulation and estimation using the\nexpectation-maximization (EM) algorithm are provided for all\nmodels. The methods of this package are based on the following\nreferences. Asmussen, S., Nerman, O., & Olsson, M. (1996).\nFitting phase-type distributions via the EM algorithm, Olsson,\nM. (1996). Estimation of phase-type distributions from censored\ndata, Albrecher, H., & Bladt, M. (2019)\n, Albrecher, H., Bladt, M., & Yslas,\nJ. (2022) , Albrecher, H., Bladt, M.,\nBladt, M., & Yslas, J. (2022)\n, Bladt, M., & Yslas, J.\n(2022) , Bladt, M. (2022)\n, Bladt, M. (2023)\n, Albrecher, H., Bladt, M.,\n& Mueller, A. (2023) , Bladt, M. &\nYslas, J. (2023) .", "License": "GPL-3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://martinbladt.r-universe.dev", "Date/Publication": "2026-03-06 01:20:18 UTC", "RemoteUrl": "https://github.com/martinbladt/matrixdist_1.0", "RemoteRef": "HEAD", "RemoteSha": "20ff43761bdb2667e3cb2ce1db0e9f342bdd8e15", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-04 10:51:45 UTC", "User": "root" }, "MD5sum": "fc63c07d9dad5774d04f172c30b1d15a", "_user": "martinbladt", "_type": "src", "_file": "matrixdist_1.1.9.tar.gz", "_fileid": "934ff1771c79f8734671c7292a3b2c9f51fd5a9c0086d00b361a3f33199053f5", "_filesize": 583371, "_sha256": "934ff1771c79f8734671c7292a3b2c9f51fd5a9c0086d00b361a3f33199053f5", "_created": "2026-06-04T10:51:45.000Z", "_published": "2026-06-04T11:09:25.198Z", "_distro": "noble", "_jobs": [ { "job": 79503476692, "time": 274, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", 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for iph class", "topics": [ "coef,iph-method" ] }, { "page": "coef-mdph-method", "title": "Coef method for mdph class", "topics": [ "coef,mdph-method" ] }, { "page": "coef-ph-method", "title": "Coef method for ph class", "topics": [ "coef,ph-method" ] }, { "page": "coef-sph-method", "title": "Coef method for sph Class", "topics": [ "coef,sph-method" ] }, { "page": "cor-bivdph-method", "title": "Cor method for bivdph class", "topics": [ "cor,bivdph-method" ] }, { "page": "cor-bivph-method", "title": "Cor method for bivph class", "topics": [ "cor,bivph-method" ] }, { "page": "cor-mdph-method", "title": "Cor method for multivariate discrete phase-type distributions", "topics": [ "cor,mdph-method" ] }, { "page": "cor-mph-method", "title": "Cor method for multivariate phase-type distributions", "topics": [ "cor,mph-method" ] }, { "page": "cor-MPHstar-method", "title": "Cor method for MPHstar class", "topics": [ "cor,MPHstar-method" ] }, { "page": "csph_density", "title": "Bivariate phase-type joint density of the common shock type", "topics": [ "csph_density" ] }, { "page": "csph_density_par", "title": "Bivariate phase-type joint density of the common shock type", "topics": [ "csph_density_par" ] }, { "page": "csph_density_test", "title": "Bivariate phase-type joint density of the common shock type", "topics": [ "csph_density_test" ] }, { "page": "csph_densityrk", "title": "Bivariate phase-type joint density of the common shock type", "topics": [ "csph_densityrk" ] }, { "page": "cumulate_matrix", "title": "Cumulate matrix", "topics": [ "cumulate_matrix" ] }, { "page": "cumulate_vector", "title": "Cumulate vector", "topics": [ "cumulate_vector" ] }, { "page": "data_aggregation", "title": "Aggregate data to improve computation speed", "topics": [ "data_aggregation" ] }, { "page": "default_step_length", "title": "Default size of the steps in the RK", "topics": [ "default_step_length" ] }, { "page": "dens", "title": "New generic for the density of matrix distributions", "topics": [ "dens" ] }, { "page": "dens-bivdph-method", "title": "Density method for bivariate discrete phase-type distributions", "topics": [ "dens,bivdph-method" ] }, { "page": "dens-biviph-method", "title": "Density method for bivariate inhomogeneous phase-type distributions", "topics": [ "dens,biviph-method" ] }, { "page": "dens-bivph-method", "title": "Density method for bivariate phase-type distributions", "topics": [ "dens,bivph-method" ] }, { "page": "dens-dph-method", "title": "Density method for discrete phase-type distributions", "topics": [ "dens,dph-method" ] }, { "page": "dens-iph-method", "title": "Density method for inhomogeneous phase-type distributions", "topics": [ "dens,iph-method" ] }, { "page": "dens-mdph-method", "title": "Density method for multivariate discrete phase-type distributions", "topics": [ "dens,mdph-method" ] }, { "page": "dens-miph-method", "title": "Density method for multivariate inhomogeneous phase-type distributions", "topics": [ "dens,miph-method" ] }, { "page": "dens-mph-method", "title": "Density method for multivariate phase-type distributions", "topics": [ "dens,mph-method" ] }, { "page": "dens-ph-method", "title": "Density method for phase-type distributions", "topics": [ "dens,ph-method" ] }, { "page": "dph", "title": "Constructor function for discrete phase-type distributions", "topics": [ "dph" ] }, { "page": "dph_pgf", "title": "Pgf of a discrete phase-type distribution", "topics": [ "dph_pgf" ] }, { "page": "dph-class", "title": "Discrete phase-type distributions", "topics": [ "dph-class" ] }, { "page": "dphcdf", "title": "Discrete phase-type cdf", "topics": [ "dphcdf" ] }, { "page": "dphdensity", "title": "Discrete phase-type density", "topics": [ "dphdensity" ] }, { "page": "EM_step_mPH_rc", "title": "EM step for the mPH class with right-censoring, for different marginal sub-intensity matrices", "topics": [ "EM_step_mPH_rc" ] }, { "page": "embedded_mc", "title": "Embedded Markov chain of a sub-intensity matrix", "topics": [ "embedded_mc" ] }, { "page": "embedded_mc_cs", "title": "Embedded Markov chain of a sub-intensity matrix", "topics": [ "embedded_mc_cs" ] }, { "page": "EMstep_bivdph", "title": "EM for discrete bivariate phase-type", "topics": [ "EMstep_bivdph" ] }, { "page": "EMstep_bivdph_MoE", "title": "EM for discrete bivariate phase-type MoE", "topics": [ "EMstep_bivdph_MoE" ] }, { "page": "EMstep_bivph", "title": "EM for bivariate phase-type distributions using Pade for matrix exponential", "topics": [ "EMstep_bivph" ] }, { "page": "EMstep_dph", "title": "EM for discrete phase-type", "topics": [ "EMstep_dph" ] }, { "page": "EMstep_dph_MoE", "title": "EM for discrete phase-type MoE", "topics": [ "EMstep_dph_MoE" ] }, { "page": "EMstep_mdph", "title": "EM for multivariate discrete phase-type", "topics": [ "EMstep_mdph" ] }, { "page": "EMstep_mdph_MoE", "title": "EM for multivariate discrete phase-type MoE", "topics": [ "EMstep_mdph_MoE" ] }, { "page": "EMstep_MoE_PADE", "title": "EM for PH-MoE", "topics": [ "EMstep_MoE_PADE" ] }, { "page": "EMstep_PADE", "title": "EM for phase-type distributions using Pade approximation for matrix exponential", "topics": [ "EMstep_PADE" ] }, { "page": "EMstep_RK", "title": "EM step for phase-type using Runge-Kutta", "topics": [ "EMstep_RK" ] }, { "page": "EMstep_UNI", "title": "EM for phase-type using uniformization for matrix exponential", "topics": [ "EMstep_UNI" ] }, { "page": "EMstep_UNI_intervalCensoring", "title": "EM for phase-type using uniformization for matrix exponential", "topics": [ "EMstep_UNI_intervalCensoring" ] }, { "page": "evaluate", "title": "New generic for evaluating survival matrix distributions", "topics": [ "evaluate" ] }, { "page": "evaluate-sph-method", "title": "Evaluation method for sph Class", "topics": [ "evaluate,sph-method" ] }, { "page": "expm_terms", "title": "expm terms of phase-type likelihood using uniformization", "topics": [ "expm_terms" ] }, { "page": "expmat", "title": "Matrix exponential", "topics": [ "expmat" ] }, { "page": "find_n", "title": "Find n such that P(N > n) = h with N Poisson distributed", "topics": [ "find_n" ] }, { "page": "find_weight", "title": "Find weight of observations", "topics": [ "find_weight" ] }, { "page": "Fisher", "title": "New generic for obtaining the Fisher information of survival matrix distributions", "topics": [ "Fisher" ] }, { "page": "Fisher-sph-method", "title": "Fisher information method for sph class", "topics": [ "Fisher,sph-method" ] }, { "page": "fit", "title": "New generic for estimating matrix distributions", "topics": [ "fit" ] }, { "page": "fit_multiple", "title": "Fit Multiple Competing Phase-Type Models", "topics": [ "fit_multiple" ] }, { "page": "fit-bivdph-method", "title": "Fit method for bivdph Class", "topics": [ "fit,bivdph-method" ] }, { "page": "fit-bivph-method", "title": "Fit method for bivph Class", "topics": [ "fit,bivph-method" ] }, { "page": "fit-dph-method", "title": "Fit method for dph class", "topics": [ "fit,dph-method" ] }, { "page": "fit-mdph-method", "title": "Fit method for mdph Class", "topics": [ "fit,mdph-method" ] }, { "page": "fit-mph-method", "title": "Fit method for mph Class", "topics": [ "fit,mph-method" ] }, { "page": "fit-MPHstar-method", "title": "Fit method for mph class", "topics": [ "fit,MPHstar-method" ] }, { "page": "fit-ph-method", "title": "Fit method for ph class", "topics": [ "fit,ph-method" ] }, { "page": "haz", "title": "New generic for the hazard rate of matrix distributions", "topics": [ "haz" ] }, { "page": "haz-ph-method", "title": "Hazard rate method for phase-type distributions", "topics": [ "haz,ph-method" ] }, { "page": "inf_norm", "title": "L inf norm of a matrix", "topics": [ "inf_norm" ] }, { "page": "inhomogeneity_reg", "title": "New generic for regression with matrix distributions, when the inhomogeneity parameter is also regressed", "topics": [ "inhomogeneity_reg" ] }, { "page": "inhomogeneity_reg-ph-method", "title": "Regression method for ph Class", "topics": [ "inhomogeneity_reg,ph-method" ] }, { "page": "initial_state", "title": "Initial state of Markov jump process", "topics": [ "initial_state" ] }, { "page": "iph", "title": "Constructor function for inhomogeneous phase-type distributions", "topics": [ "iph" ] }, { "page": "iph-class", "title": "Inhomogeneous phase-type distributions", "topics": [ "iph-class" ] }, { "page": "laplace", "title": "New generic for Laplace transform of matrix distributions", "topics": [ "laplace" ] }, { "page": "laplace-bivph-method", "title": "Laplace method for bivph class", "topics": [ "laplace,bivph-method" ] }, { "page": "laplace-mph-method", "title": "Laplace method for multivariate phase-type distributions", "topics": [ "laplace,mph-method" ] }, { "page": "laplace-ph-method", "title": "Laplace method for phase-type distributions", "topics": [ "laplace,ph-method" ] }, { "page": "linCom", "title": "New generic for linear combinations of multivariate matrix distributions", "topics": [ "linCom" ] }, { "page": "linCom-bivph-method", "title": "Linear combination method for bivariate phase-type distributions", "topics": [ "linCom,bivph-method" ] }, { "page": "linCom-MPHstar-method", "title": "Linear combination method for MPHstar class", "topics": [ "linCom,MPHstar-method" ] }, { "page": "linear_combination", "title": "Computes PH parameters of a linear combination of vector from MPHstar", "topics": [ "linear_combination" ] }, { "page": "logLik-ph-method", "title": "Loglikelihood method for ph class", "topics": [ "logLik,ph-method" ] }, { "page": "logLikelihood_UNIs_PI", "title": "Loglikelihood of PI using uniformization, with customizable observation transformation, automatically handling right-censored or interval-censored data based on the structure of 'rcens'.", "topics": [ "logLikelihood_UNIs_PI" ] }, { "page": "logLikelihoodbivDPH", "title": "Loglikelihood for bivariate discrete phase-type", "topics": [ "logLikelihoodbivDPH" ] }, { "page": "logLikelihoodbivDPH_MoE", "title": "Loglikelihood for bivariate discrete phase-type MoE", "topics": [ "logLikelihoodbivDPH_MoE" ] }, { "page": "logLikelihoodbivPH", "title": "Loglikelihood for Bivariate PH", "topics": [ "logLikelihoodbivPH" ] }, { "page": "logLikelihoodDPH", "title": "Loglikelihood for discrete phase-type", "topics": [ "logLikelihoodDPH" ] }, { "page": "logLikelihoodDPH_MoE", "title": "Loglikelihood for discrete phase-type MoE", "topics": [ "logLikelihoodDPH_MoE" ] }, { "page": "logLikelihoodmDPH", "title": "Loglikelihood for multivariate discrete phase-type", "topics": [ "logLikelihoodmDPH" ] }, { "page": "logLikelihoodmDPH_MoE", "title": "Loglikelihood for multivariate discrete phase-type MoE", "topics": [ "logLikelihoodmDPH_MoE" ] }, { "page": "logLikelihoodMgev_PADE", "title": "Loglikelihood of matrix-GEV using Pade", "topics": [ "logLikelihoodMgev_PADE" ] }, { "page": "logLikelihoodMgev_RK", "title": "Loglikelihood of matrix-GEV using Runge-Kutta", "topics": [ "logLikelihoodMgev_RK" ] }, { "page": "logLikelihoodMgev_UNI", "title": "Loglikelihood of matrix-GEV using uniformization", "topics": [ "logLikelihoodMgev_UNI" ] }, { "page": "logLikelihoodMgev_UNI_inhom", "title": "Loglikelihood of matrix-GEV using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgev_UNI_inhom" ] }, { "page": "logLikelihoodMgev_UNI_inhom_intCens", "title": "Loglikelihood of matrix-GEV using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgev_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMgev_UNI_intervalCensoring", "title": "Loglikelihood of matrix-GEV using uniformization", "topics": [ "logLikelihoodMgev_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMgompertz_PADE", "title": "Loglikelihood of matrix-Gompertz using Pade", "topics": [ "logLikelihoodMgompertz_PADE" ] }, { "page": "logLikelihoodMgompertz_PADEs", "title": "Loglikelihood of PI with matrix-Gompertz using Pade", "topics": [ "logLikelihoodMgompertz_PADEs" ] }, { "page": "logLikelihoodMGompertz_RK", "title": "Loglikelihood of matrix-Gompertz using Runge-Kutta", "topics": [ "logLikelihoodMgompertz_RK" ] }, { "page": "logLikelihoodMgompertz_RKs", "title": "Loglikelihood of PI with matrix-Gompertz using Runge-Kutta", "topics": [ "logLikelihoodMgompertz_RKs" ] }, { "page": "logLikelihoodMgompertz_UNI", "title": "Loglikelihood of matrix-Gompertz using uniformization", "topics": [ "logLikelihoodMgompertz_UNI" ] }, { "page": "logLikelihoodMgompertz_UNI_inhom", "title": "Loglikelihood of matrix-Gompertz using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgompertz_UNI_inhom" ] }, { "page": "logLikelihoodMgompertz_UNI_inhom_intCens", "title": "Loglikelihood of matrix-Gompertz using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgompertz_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMgompertz_UNI_intervalCensoring", "title": "Loglikelihood of matrix-Gompertz using uniformization", "topics": [ "logLikelihoodMgompertz_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMgompertz_UNIs", "title": "Loglikelihood of PI with matrix-Gompertz using Uniformization", "topics": [ "logLikelihoodMgompertz_UNIs" ] }, { "page": "logLikelihoodMgompertz_UNIs_inhom", "title": "Loglikelihood of PI with matrix-Gompertz using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgompertz_UNIs_inhom" ] }, { "page": "logLikelihoodMgompertz_UNIs_inhom_intCens", "title": "Loglikelihood of PI with matrix-Gompertz using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMgompertz_UNIs_inhom_intCens" ] }, { "page": "logLikelihoodMgompertz_UNIs_intervalCensoring", "title": "Loglikelihood of PI with matrix-Gompertz using Uniformization", "topics": [ "logLikelihoodMgompertz_UNIs_intervalCensoring" ] }, { "page": "logLikelihoodMloglogistic_PADE", "title": "Loglikelihood of matrix-loglogistic using Pade", "topics": [ "logLikelihoodMloglogistic_PADE" ] }, { "page": "logLikelihoodMloglogistic_PADEs", "title": "Loglikelihood of PI with matrix-loglogistic using Pade", "topics": [ "logLikelihoodMloglogistic_PADEs" ] }, { "page": "logLikelihoodMLogLogistic_RK", "title": "Loglikelihood of matrix-loglogistic using Runge-Kutta", "topics": [ "logLikelihoodMloglogistic_RK" ] }, { "page": "logLikelihoodMloglogistic_RKs", "title": "Loglikelihood of PI with matrix-loglogistic using Runge-Kutta", "topics": [ "logLikelihoodMloglogistic_RKs" ] }, { "page": "logLikelihoodMloglogistic_UNI", "title": "Loglikelihood of matrix-loglogistic using uniformization", "topics": [ "logLikelihoodMloglogistic_UNI" ] }, { "page": "logLikelihoodMloglogistic_UNI_inhom", "title": "Loglikelihood of matrix-loglogistic using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMloglogistic_UNI_inhom" ] }, { "page": "logLikelihoodMloglogistic_UNI_inhom_intCens", "title": "Loglikelihood of matrix-loglogistic using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMloglogistic_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMloglogistic_UNI_intervalCensoring", "title": "Loglikelihood of matrix-loglogistic using uniformization", "topics": [ "logLikelihoodMloglogistic_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMloglogistic_UNIs", "title": "Loglikelihood of PI with matrix-loglogistic using uniformization", "topics": [ "logLikelihoodMloglogistic_UNIs" ] }, { "page": "logLikelihoodMloglogistic_UNIs_inhom", "title": "Loglikelihood of PI with matrix-loglogistic using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMloglogistic_UNIs_inhom" ] }, { "page": "logLikelihoodMloglogistic_UNIs_inhom_intCens", "title": "Loglikelihood of PI with matrix-loglogistic using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMloglogistic_UNIs_inhom_intCens" ] }, { "page": "logLikelihoodMloglogistic_UNIs_intervalCensoring", "title": "Loglikelihood of PI with matrix-loglogistic using uniformization", "topics": [ "logLikelihoodMloglogistic_UNIs_intervalCensoring" ] }, { "page": "logLikelihoodMlognormal_PADE", "title": "Loglikelihood of matrix-lognormal using Pade", "topics": [ "logLikelihoodMlognormal_PADE" ] }, { "page": "logLikelihoodMlognormal_PADEs", "title": "Loglikelihood of PI with matrix-lognormal using Pade", "topics": [ "logLikelihoodMlognormal_PADEs" ] }, { "page": "logLikelihoodMLogNormal_RK", "title": "Loglikelihood of matrix-lognormal using Runge-Kutta", "topics": [ "logLikelihoodMlognormal_RK" ] }, { "page": "logLikelihoodMlognormal_RKs", "title": "Loglikelihood of PI matrix-lognormal using Runge-Kutta", "topics": [ "logLikelihoodMlognormal_RKs" ] }, { "page": "logLikelihoodMlognormal_UNI", "title": "Loglikelihood of matrix-lognormal using uniformization", "topics": [ "logLikelihoodMlognormal_UNI" ] }, { "page": "logLikelihoodMlognormal_UNI_inhom", "title": "Loglikelihood of matrix-lognormal using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMlognormal_UNI_inhom" ] }, { "page": "logLikelihoodMlognormal_UNI_inhom_intCens", "title": "Loglikelihood of matrix-lognormal using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMlognormal_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMlognormal_UNI_intervalCensoring", "title": "Loglikelihood of matrix-lognormal using uniformization", "topics": [ "logLikelihoodMlognormal_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMlognormal_UNIs", "title": "Loglikelihood of PI with matrix-lognormal using uniformization", "topics": [ "logLikelihoodMlognormal_UNIs" ] }, { "page": "logLikelihoodMlognormal_UNIs_inhom", "title": "Loglikelihood of PI with matrix-lognormal using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMlognormal_UNIs_inhom" ] }, { "page": "logLikelihoodMlognormal_UNIs_inhom_intCens", "title": "Loglikelihood of PI with matrix-lognormal using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMlognormal_UNIs_inhom_intCens" ] }, { "page": "logLikelihoodMlognormal_UNIs_intervalCensoring", "title": "Loglikelihood of PI with matrix-lognormal using uniformization", "topics": [ "logLikelihoodMlognormal_UNIs_intervalCensoring" ] }, { "page": "logLikelihoodMpareto_PADE", "title": "Loglikelihood of matrix-Pareto using Pade", "topics": [ "logLikelihoodMpareto_PADE" ] }, { "page": "logLikelihoodMpareto_PADEs", "title": "Loglikelihood of PI with matrix-Pareto using Pade", "topics": [ "logLikelihoodMpareto_PADEs" ] }, { "page": "logLikelihoodMPareto_RK", "title": "Loglikelihood of matrix-Pareto using Runge-Kutta", "topics": [ "logLikelihoodMpareto_RK" ] }, { "page": "logLikelihoodMpareto_RKs", "title": "Loglikelihood of PI with matrix-Pareto using Runge-Kutta", "topics": [ "logLikelihoodMpareto_RKs" ] }, { "page": "logLikelihoodMpareto_UNI", "title": "Loglikelihood of matrix-Pareto using uniformization", "topics": [ "logLikelihoodMpareto_UNI" ] }, { "page": "logLikelihoodMpareto_UNI_inhom", "title": "Loglikelihood of matrix-Pareto using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMpareto_UNI_inhom" ] }, { "page": "logLikelihoodMpareto_UNI_inhom_intCens", "title": "Loglikelihood of matrix-Pareto using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMpareto_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMpareto_UNI_intervalCensoring", "title": "Loglikelihood of matrix-Pareto using uniformization", "topics": [ "logLikelihoodMpareto_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMpareto_UNIs", "title": "Loglikelihood of PI with matrix-Pareto using uniformization", "topics": [ "logLikelihoodMpareto_UNIs" ] }, { "page": "logLikelihoodMpareto_UNIs_inhom", "title": "Loglikelihood of PI with matrix-Pareto using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMpareto_UNIs_inhom" ] }, { "page": "logLikelihoodMpareto_UNIs_inhom_intCens", "title": "Loglikelihood of PI with matrix-Pareto using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMpareto_UNIs_inhom_intCens" ] }, { "page": "logLikelihoodMpareto_UNIs_intervalCensoring", "title": "Loglikelihood of PI with matrix-Pareto using uniformization", "topics": [ "logLikelihoodMpareto_UNIs_intervalCensoring" ] }, { "page": "logLikelihoodMweibull_PADE", "title": "Loglikelihood of matrix-Weibull using Pade", "topics": [ "logLikelihoodMweibull_PADE" ] }, { "page": "logLikelihoodMweibull_PADEs", "title": "Loglikelihood of PI with matrix-Weibull using Pade", "topics": [ "logLikelihoodMweibull_PADEs" ] }, { "page": "logLikelihoodMWeibull_RK", "title": "Loglikelihood of matrix-Weibull using Runge-Kutta", "topics": [ "logLikelihoodMweibull_RK" ] }, { "page": "logLikelihoodMweibull_RKs", "title": "Loglikelihood of PI with matrix-Weibull using Runge-Kutta", "topics": [ "logLikelihoodMweibull_RKs" ] }, { "page": "logLikelihoodMweibull_UNI", "title": "Loglikelihood of matrix-Weibull using uniformization", "topics": [ "logLikelihoodMweibull_UNI" ] }, { "page": "logLikelihoodMweibull_UNI_inhom", "title": "Loglikelihood of matrix-Weibull using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMweibull_UNI_inhom" ] }, { "page": "logLikelihoodMweibull_UNI_inhom_intCens", "title": "Loglikelihood of matrix-Weibull using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMweibull_UNI_inhom_intCens" ] }, { "page": "logLikelihoodMweibull_UNI_intervalCensoring", "title": "Loglikelihood of matrix-Weibull using uniformization", "topics": [ "logLikelihoodMweibull_UNI_intervalCensoring" ] }, { "page": "logLikelihoodMweibull_UNIs", "title": "Loglikelihood of PI with matrix-Weibull using uniformization", "topics": [ "logLikelihoodMweibull_UNIs" ] }, { "page": "logLikelihoodMweibull_UNIs_inhom", "title": "Loglikelihood of PI with matrix-Weibull using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMweibull_UNIs_inhom" ] }, { "page": "logLikelihoodMweibull_UNIs_inhom_intCens", "title": "Loglikelihood of PI with matrix-Weibull using uniformization, when the intensity function is regressed on covariate informatino", "topics": [ "logLikelihoodMweibull_UNIs_inhom_intCens" ] }, { "page": "logLikelihoodMweibull_UNIs_intervalCensoring", "title": "Loglikelihood of PI with matrix-Weibull using uniformization", "topics": [ "logLikelihoodMweibull_UNIs_intervalCensoring" ] }, { "page": "logLikelihoodPH_MoE", "title": "Loglikelihood for PH-MoE", "topics": [ "logLikelihoodPH_MoE" ] }, { "page": "logLikelihoodPH_PADE", "title": "Loglikelihood of phase-type using Pade approximation", "topics": [ "logLikelihoodPH_PADE" ] }, { "page": "logLikelihoodPH_PADEs", "title": "Loglikelihood of PI with phase-type using Pade", "topics": [ "logLikelihoodPH_PADEs" ] }, { "page": "logLikelihoodPH_RK", "title": "Loglikelihood of phase-type using Runge-Kutta", "topics": [ "logLikelihoodPH_RK" ] }, { "page": "logLikelihoodPH_RKs", "title": "Loglikelihood of PI with phase-type using Runge-Kutta", "topics": [ "logLikelihoodPH_RKs" ] }, { "page": "logLikelihoodPH_UNI", "title": "Loglikelihood of phase-type using uniformization", "topics": [ "logLikelihoodPH_UNI" ] }, { "page": "logLikelihoodPH_UNI_intervalCensoring", "title": "Loglikelihood of phase-type using uniformization", "topics": [ "logLikelihoodPH_UNI_intervalCensoring" ] }, { "page": "logLikelihoodPH_UNIs", "title": "Loglikelihood of PI with phase-type using uniformization", "topics": [ "logLikelihoodPH_UNIs" ] }, { "page": "logLikelihoodPH_UNIs_intervalCensoring", "title": "Loglikelihood of PI with phase-type using uniformization", "topics": [ "logLikelihoodPH_UNIs_intervalCensoring" ] }, { "page": "LRT", "title": "New generic for likelihood ratio test between two matrix distribution models", "topics": [ "LRT" ] }, { "page": "LRT-ph-ph-method", "title": "LRT method for ph class", "topics": [ "LRT,ph,ph-method" ] }, { "page": "m_exp_sum", "title": "Computes exp(Sx) via series representation", "topics": [ "m_exp_sum" ] }, { "page": "marginal", "title": "New generic for the marginals of multivariate matrix distributions", "topics": [ "marginal" ] }, { "page": "marginal_expectation", "title": "Marginal conditional expectations", "topics": [ "marginal_expectation" ] }, { "page": "marginal-bivdph-method", "title": "Marginal method for bivdph class", "topics": [ "marginal,bivdph-method" ] }, { "page": "marginal-biviph-method", "title": "Marginal method for biviph class", "topics": [ "marginal,biviph-method" ] }, { "page": "marginal-bivph-method", "title": "Marginal method for bivph class", "topics": [ "marginal,bivph-method" ] }, { "page": "marginal-mdph-method", "title": "Marginal method for mdph class", "topics": [ "marginal,mdph-method" ] }, { "page": "marginal-miph-method", "title": "Marginal method for multivariate inhomogeneous phase-type distributions", "topics": [ "marginal,miph-method" ] }, { "page": "marginal-mph-method", "title": "Marginal method for multivariate phase-type distributions", "topics": [ "marginal,mph-method" ] }, { "page": "marginal-MPHstar-method", "title": "Marginal method for MPHstar class", "topics": [ "marginal,MPHstar-method" ] }, { "page": "matrix_exponential", "title": "Matrix exponential", "topics": [ "matrix_exponential" ] }, { "page": "matrix_inverse", "title": "Inverse of a matrix", "topics": [ "matrix_inverse" ] }, { "page": "matrix_power", "title": "Computes A^n", "topics": [ "matrix_power" ] }, { "page": "matrix_product", "title": "Product of two matrices", "topics": [ "matrix_product" ] }, { "page": "matrix_VanLoan", "title": "Creates the matrix (A1, B1 ; 0, A2)", "topics": [ "matrix_vanloan" ] }, { "page": "max_diagonal", "title": "Maximum diagonal element of a matrix", "topics": [ "max_diagonal" ] }, { "page": "maximum", "title": "New generic for maximum of two matrix distributions", "topics": [ "maximum" ] }, { "page": "maximum-dph-dph-method", "title": "Maximum method for discrete phase-type distributions", "topics": [ "maximum,dph,dph-method" ] }, { "page": "maximum-iph-iph-method", "title": "Maximum method for inhomogeneous phase-type distributions", "topics": [ "maximum,iph,iph-method" ] }, { "page": "maximum-ph-ph-method", "title": "Maximum method for phase-type distributions", "topics": [ "maximum,ph,ph-method" ] }, { "page": "mdph", "title": "Constructor function for multivariate discrete phase-type distributions", "topics": [ "mdph" ] }, { "page": "mdph-class", "title": "Multivariate discrete phase-type distributions", "topics": [ "mdph-class" ] }, { "page": "mdphdensity", "title": "Multivariate discrete phase-type density", "topics": [ "mdphdensity" ] }, { "page": "mean-bivdph-method", "title": "Mean method for bivdph class", "topics": [ "mean,bivdph-method" ] }, { "page": "mean-bivph-method", "title": "Mean Method for bivph class", "topics": [ "mean,bivph-method" ] }, { "page": "mean-dph-method", "title": "Mean method for discrete phase-type distributions", "topics": [ "mean,dph-method" ] }, { "page": "mean-mdph-method", "title": "Mean method for multivariate discrete phase-type distributions", "topics": [ "mean,mdph-method" ] }, { "page": "mean-mph-method", "title": "Mean method for multivariate phase-type distributions", "topics": [ "mean,mph-method" ] }, { "page": "mean-MPHstar-method", "title": "Mean method for MPHstar class", "topics": [ "mean,MPHstar-method" ] }, { "page": "mean-ph-method", "title": "Mean method for phase-type distributions", "topics": [ "mean,ph-method" ] }, { "page": "merge_matrices", "title": "Merges the matrices S11, S12 and S22 into a sub-intensity matrix", "topics": [ "merge_matrices" ] }, { "page": "merlang_dph", "title": "Mixture of Erlang (discrete) constructor", "topics": [ "merlang_dph" ] }, { "page": "merlang_ph", "title": "Mixture of Erlang (continuous) constructor", "topics": [ "merlang_ph" ] }, { "page": "mgevcdf", "title": "Matrix-GEV cdf", "topics": [ "mgevcdf" ] }, { "page": "mgevden", "title": "Matrix-GEV density", "topics": [ "mgevden" ] }, { "page": "mgf", "title": "New generic for mgf of matrix distributions", "topics": [ "mgf" ] }, { "page": "mgf-bivph-method", "title": "Mgf method for bivph class", "topics": [ "mgf,bivph-method" ] }, { "page": "mgf-mph-method", "title": "Mgf method for multivariate phase-type distributions", "topics": [ "mgf,mph-method" ] }, { "page": "mgf-ph-method", "title": "Mgf method for phase-type distributions", "topics": [ "mgf,ph-method" ] }, { "page": "mGompertzcdf", "title": "Matrix-Gompertz cdf", "topics": [ "mgompertzcdf" ] }, { "page": "mGompertzden", "title": "Matrix-Gompertz density", "topics": [ "mgompertzden" ] }, { "page": "minimum", "title": "New generic for minimum of two matrix distributions", "topics": [ "minimum" ] }, { "page": "minimum-dph-dph-method", "title": "Minimum method for discrete phase-type distributions", "topics": [ "minimum,dph,dph-method" ] }, { "page": "minimum-iph-iph-method", "title": "Minimum method for inhomogeneous phase-type distributions", "topics": [ "minimum,iph,iph-method" ] }, { "page": "minimum-ph-ph-method", "title": "Minimum method for phase-type distributions", "topics": [ "minimum,ph,ph-method" ] }, { "page": "miph", "title": "Constructor function for multivariate inhomogeneous phase-type distributions", "topics": [ "miph" ] }, { "page": "miph-class", "title": "Multivariate inhomogeneous phase-type distributions", "topics": [ "miph-class" ] }, { "page": "mixture", "title": "New generic for mixture of two matrix distributions", "topics": [ "mixture" ] }, { "page": "mixture-dph-dph-method", "title": "Mixture method for phase-type distributions", "topics": [ "mixture,dph,dph-method" ] }, { "page": "mixture-ph-ph-method", "title": "Mixture method for phase-type distributions", "topics": [ "mixture,ph,ph-method" ] }, { "page": "mLogLogisticcdf", "title": "Matrix-loglogistic cdf", "topics": [ "mloglogisticcdf" ] }, { "page": "mLogLogisticden", "title": "Matrix-loglogistic density", "topics": [ "mloglogisticden" ] }, { "page": "mLogNormalcdf", "title": "Matrix-lognormal cdf", "topics": [ "mlognormalcdf" ] }, { "page": "mLogNormalden", "title": "Matrix-lognormal density", "topics": [ "mlognormalden" ] }, { "page": "MoE", "title": "New generic for mixture-of-experts regression with matrix distributions", "topics": [ "MoE" ] }, { "page": "MoE-bivdph-method", "title": "MoE method for bivdph Class", "topics": [ "MoE,bivdph-method" ] }, { "page": "MoE-dph-method", "title": "MoE method for dph Class", "topics": [ "MoE,dph-method" ] }, { "page": "MoE-mdph-method", "title": "MoE method for mdph Class", "topics": [ "MoE,mdph-method" ] }, { "page": "MoE-mph-method", "title": "Fit method for mph/miph class, using mixture-of-experts regression", "topics": [ "MoE,mph-method" ] }, { "page": "MoE-ph-method", "title": "MoE method for ph Class", "topics": [ "MoE,ph-method" ] }, { "page": "moment", "title": "New generic for moments of matrix distributions", "topics": [ "moment" ] }, { "page": "moment-bivdph-method", "title": "Moment method for bivdph class", "topics": [ "moment,bivdph-method" ] }, { "page": "moment-bivph-method", "title": "Moment method for bivph class", "topics": [ "moment,bivph-method" ] }, { "page": "moment-dph-method", "title": "Moment method for discrete phase-type distributions", "topics": [ "moment,dph-method" ] }, { "page": "moment-mdph-method", "title": "Moment method for multivariate discrete phase-type distributions", "topics": [ "moment,mdph-method" ] }, { "page": "moment-mph-method", "title": "Moment method for multivariate phase-type distributions", "topics": [ "moment,mph-method" ] }, { "page": "moment-ph-method", "title": "Moment method for phase-type distributions", "topics": [ "moment,ph-method" ] }, { "page": "mParetocdf", "title": "Matrix-Pareto cdf", "topics": [ "mparetocdf" ] }, { "page": "mParetoden", "title": "Matrix-Pareto density", "topics": [ "mparetoden" ] }, { "page": "mph", "title": "Constructor function for multivariate phase-type distributions", "topics": [ "mph" ] }, { "page": "mph-class", "title": 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